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Publications

Camuto, A. et al. (2021) “Towards a theoretical understanding of the robustness of variational autoencoders”, in. Journal of Machine Learning Research, pp. 3565–3573.
Camuto, A. et al. (2021) “Learning bijective feature maps for linear ICA”, in Proceedings of the 24th International Conference on Artificial Intelligence and Statistics. PMLR, pp. 3655–3663.
He, B. et al. (2021) “Effectiveness and resource requirements of test, trace and isolate strategies for COVID in the UK”, Royal Society Open Science, 8(3), p. 201491.
Unwin, H. et al. (2021) “Using next generation matrices to estimate the proportion of infections that are not detected in an outbreak”, pp. 2021.02.24.21252339 – 2021.02.24.21252339.
Brauner, J. et al. (2021) “Inferring the effectiveness of government interventions against COVID-19”, Science, 371(6531), pp. eabd9338 - eabd9338-.
Ward, H. et al. (2021) “SARS-CoV-2 antibody prevalence in England following the first peak of the pandemic”, Nature Communications, 12(1), p. 905.
Lagou, V. et al. (2021) “Publisher Correction: Sex-dimorphic genetic effects and novel loci for fasting glucose and insulin variability”, Nature Communications, 12(1), pp. 995 – 995.
Lavezzo, E. et al. (2021) “Author Correction: Suppression of a SARS-CoV-2 outbreak in the Italian municipality of Vo’”, Nature, 590(7844), pp. e11 - e11.
Franco, D. et al. (2021) “Early Transmission Dynamics, Spread, and Genomic Characterization of SARS-CoV-2 in Panama - Volume 27, Number 2—February 2021 - Emerging Infectious Diseases journal - CDC”, Emerging Infectious Diseases, 27(2), pp. 612–615.
Riley, S. et al. (2021) “REACT-1 round 8 final report: high average prevalence with regional heterogeneity of trends in SARS-CoV-2 infection in the community in England during January 2021”, p. 2021.01.28.21250606.